Evidence map›Paper›PMID 40665697›Full record

ArticleThe Permanente journal2025

Physician Performance in the Merit-Based Incentive Payment System: Implications for Health Disparities.

Joseph H Joo, Jubi Yl Lin, Lingmei Zhou, Danielle S Browne, Edwin S Wong, Joshua M Liao

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Article in The Permanente journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Joseph H JooDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-3073-0237
Jubi Yl LinDepartment of Medicine, University of Washington, Seattle, WA, USA.
Lingmei ZhouDepartment of Medicine, University of Washington, Seattle, WA, USA.
Danielle S BrowneDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Edwin S WongDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, USA.
Joshua M LiaoDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Merit-Based Incentive Payment System (MIPS) was ostensibly designed to promote better care across participants. However, MIPS risks exacerbating disparities among participants with fewer resources to invest in performance metrics like care delivery improvements or quality reporting. Unfortunately, little is known about how group practice characteristics have impacted MIPS scores and associated reimbursement over time.

methodsThe analysis involved data from the MIPS Overall Clinician Performance Database, which included information about 2019 MIPS performance among all practices and clinicians. MIPS data were combined with other datasets to assess physician group practice characteristics. Additional practice- and area-level variables were obtained from the Dartmouth Atlas and the County Health Rankings file.

resultsIn the adjusted analysis, 2 practice-level characteristics (location in urban areas and larger patient populations) and 2 community-level characteristics (some college education and health care spending) were positively associated with MIPS scores. In contrast, patient population case mix and the proportion of Medicare/Medicaid dual-eligible patients were negatively associated with MIPS scores at the practice level. DISCUSSION: The proportion of Medicare/Medicaid dual-eligible patients, but not the proportion of Black patients, was associated with lower MIPS scores. A number of other practice- and community-level characteristics were also associated with MIPS performance. These findings underscore the potential risk that MIPS may exacerbate health disparities by penalizing practices caring for lower-income populations adversely affected by social drivers of health.

conclusionTo address health disparities in MIPS, policymakers could consider following precedent from other payment programs and account for practice factors when evaluating MIPS performance.

Indexed as

Healthcare DisparitiesPhysician Incentive PlansPhysiciansReimbursement, IncentiveHumansMedicaidMedicareUnited Stateshealth disparitiesmedicarepay-for-performance

Identifiers

PMID40665697
PMCPMC12485235

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